Results 121 to 130 of about 225,843 (220)

Multi-sensor-based rock glacier detection over Sikkim Himalaya. [PDF]

iScience
Kumar A, Malviya A, Singh G.
europepmc   +1 more source

多元衛星雷達影像於臺灣北部 執行PS-InSAR之研究

, 2013
許多研究已證實PS-InSAR技術可藉由長時間序列中的永久散射點之變化量，準確獲取地表變動速度。然各衛載雷達系統所選用的雷達波長不盡相同，其對於地表各擁有不同的散射特性，而此特性使得各類衛星雷達影像所得到的PS-InSAR成果不盡相同。 本研究為探求不同雷達影像類型所得到的PS-InSAR成果的差異，以臺灣北部為實驗區，利用ERS-2、ENVISAT ASAR與ALOS PALSAR三類型衛星雷達影像，以StaMPS V3.2軟體執行PS-InSAR技術 ...
楊豐毓
core  

Assessing InSAR observability of landslides interfering with bridges. [PDF]

Sci Rep
Cernuto E, Salciarini D, Ubertini F, Giardina G.   +3 more
europepmc   +1 more source

Method for Monitoring the Safety of Urban Subway Infrastructure Along Subway Lines by Fusing Inter-Track InSAR Data. [PDF]

Sensors (Basel)
Cai G, Lu X, Lu Y, Lou Z, Huang B, Lu Y, Li S, Liu B.   +7 more
europepmc   +1 more source

Automated Landslide Identification from Time-Series InSAR Using Improved Hot Spot Analysis. [PDF]

Sensors (Basel)
Yang X, Zhang J, Zhu W, Sun Q, Li J.
europepmc   +1 more source

Landslide Hazard Identification and Prediction in Complex Mountainous Areas Using Ascending and Descending Orbits InSAR Technology. [PDF]

Sensors (Basel)
Zhao W, Cong P, Ma X, Yi M, Liu C, Gao J, Zhang Y.   +6 more
europepmc   +1 more source

High-resolution strain rate mapping around inland plate boundary within a volcanic arc using L-band InSAR and dense GNSS networks. [PDF]

Sci Rep
Nagaoka S, Takada Y, Nishimura T, Sagiya T, Ohta Y.   +4 more
europepmc   +1 more source

PS-InSAR time series analysis as a tool for measuring landslide dynamics

, 2009
PS-InSAR analysis is today a widely accepted methodology for the accurate measurement of ground displacements related to processes with slow kinematics, such as ground settlement, subsidence, uplift and slow moving landslides. The advanced use of PS-InSAR information has, however, very promising potential also for the understanding of the landslide ...
PANCIOLI, VALERIA, LU, PING, CATANI, FILIPPO, CIGNA, FRANCESCA   +3 more
openaire   +1 more source

Deep Learning Meets InSAR for Infrastructure Monitoring: A Systematic Review of Models, Applications, and Challenges. [PDF]

Sensors (Basel)
Fontes M, Bakoň M, Cunha A, Sousa JJ.
europepmc   +1 more source

Integration of InSAR and numerical modelling to assess tailings pond slope deformation affected by reservoir water. [PDF]

Sci Rep
Lu L, Li M, Chao L.
europepmc   +1 more source